ARTIFICIAL INTELLIGENCE FOR BIOMEDICAL DISCOVERY

Credit Hours: 3 · Graduate

This introductory graduate course covers the fundamental principles and practical use of artificial intelligence in biomedical research. Topics include essential mathematics and statistics, Python programming, machine learning, neural networks, biomedical image analysis, time-series analysis, dynamical systems, and reservoir computing. Instruction combines lectures, hands-on coding, scientific literature discussions, and guest seminars. No prior machine-learning experience is required. Recommended Prerequisite(s): Basic familiarity with calculus and linear algebra is recommended. Prior programming experience is helpful but not required.